Cargando…

Big Data Analysis of Genes Associated With Neuropsychiatric Disorders in an Alzheimer’s Disease Animal Model

Alzheimer’s disease is a neurodegenerative disease characterized by the impairment of cognitive function and loss of memory, affecting millions of individuals worldwide. With the dramatic increase in the prevalence of Alzheimer’s disease, it is expected to impose extensive public health and economic...

Descripción completa

Detalles Bibliográficos
Autores principales: Ham, Suji, Kim, Tae K., Hong, Heeok, Kim, Yong S., Tang, Ya-Ping, Im, Heh-In
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013555/
https://www.ncbi.nlm.nih.gov/pubmed/29962931
http://dx.doi.org/10.3389/fnins.2018.00407
_version_ 1783334038116761600
author Ham, Suji
Kim, Tae K.
Hong, Heeok
Kim, Yong S.
Tang, Ya-Ping
Im, Heh-In
author_facet Ham, Suji
Kim, Tae K.
Hong, Heeok
Kim, Yong S.
Tang, Ya-Ping
Im, Heh-In
author_sort Ham, Suji
collection PubMed
description Alzheimer’s disease is a neurodegenerative disease characterized by the impairment of cognitive function and loss of memory, affecting millions of individuals worldwide. With the dramatic increase in the prevalence of Alzheimer’s disease, it is expected to impose extensive public health and economic burden. However, this burden is particularly heavy on the caregivers of Alzheimer’s disease patients eliciting neuropsychiatric symptoms that include mood swings, hallucinations, and depression. Interestingly, these neuropsychiatric symptoms are shared across symptoms of bipolar disorder, schizophrenia, and major depression disorder. Despite the similarities in symptomatology, comorbidities of Alzheimer’s disease and these neuropsychiatric disorders have not been studied in the Alzheimer’s disease model. Here, we explore the comprehensive changes in gene expression of genes that are associated with bipolar disorder, schizophrenia, and major depression disorder through the microarray of an Alzheimer’s disease animal model, the forebrain specific PSEN double knockout mouse. To analyze the genes related with these three neuropsychiatric disorders within the scope of our microarray data, we used selected 1207 of a total of 45,037 genes that satisfied our selection criteria. These genes were selected on the basis of 14 Gene Ontology terms significantly relevant with the three disorders which were identified by previous research conducted by the Psychiatric Genomics Consortium. Our study revealed that the forebrain specific deletion of Alzheimer’s disease genes can significantly alter neuropsychiatric disorder associated genes. Most importantly, most of these significantly altered genes were found to be involved with schizophrenia. Taken together, we suggest that the synaptic dysfunction by mutation of Alzheimer’s disease genes can lead to the manifestation of not only memory loss and impairments in cognition, but also neuropsychiatric symptoms.
format Online
Article
Text
id pubmed-6013555
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-60135552018-06-29 Big Data Analysis of Genes Associated With Neuropsychiatric Disorders in an Alzheimer’s Disease Animal Model Ham, Suji Kim, Tae K. Hong, Heeok Kim, Yong S. Tang, Ya-Ping Im, Heh-In Front Neurosci Neuroscience Alzheimer’s disease is a neurodegenerative disease characterized by the impairment of cognitive function and loss of memory, affecting millions of individuals worldwide. With the dramatic increase in the prevalence of Alzheimer’s disease, it is expected to impose extensive public health and economic burden. However, this burden is particularly heavy on the caregivers of Alzheimer’s disease patients eliciting neuropsychiatric symptoms that include mood swings, hallucinations, and depression. Interestingly, these neuropsychiatric symptoms are shared across symptoms of bipolar disorder, schizophrenia, and major depression disorder. Despite the similarities in symptomatology, comorbidities of Alzheimer’s disease and these neuropsychiatric disorders have not been studied in the Alzheimer’s disease model. Here, we explore the comprehensive changes in gene expression of genes that are associated with bipolar disorder, schizophrenia, and major depression disorder through the microarray of an Alzheimer’s disease animal model, the forebrain specific PSEN double knockout mouse. To analyze the genes related with these three neuropsychiatric disorders within the scope of our microarray data, we used selected 1207 of a total of 45,037 genes that satisfied our selection criteria. These genes were selected on the basis of 14 Gene Ontology terms significantly relevant with the three disorders which were identified by previous research conducted by the Psychiatric Genomics Consortium. Our study revealed that the forebrain specific deletion of Alzheimer’s disease genes can significantly alter neuropsychiatric disorder associated genes. Most importantly, most of these significantly altered genes were found to be involved with schizophrenia. Taken together, we suggest that the synaptic dysfunction by mutation of Alzheimer’s disease genes can lead to the manifestation of not only memory loss and impairments in cognition, but also neuropsychiatric symptoms. Frontiers Media S.A. 2018-06-15 /pmc/articles/PMC6013555/ /pubmed/29962931 http://dx.doi.org/10.3389/fnins.2018.00407 Text en Copyright © 2018 Ham, Kim, Hong, Kim, Tang and Im. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Ham, Suji
Kim, Tae K.
Hong, Heeok
Kim, Yong S.
Tang, Ya-Ping
Im, Heh-In
Big Data Analysis of Genes Associated With Neuropsychiatric Disorders in an Alzheimer’s Disease Animal Model
title Big Data Analysis of Genes Associated With Neuropsychiatric Disorders in an Alzheimer’s Disease Animal Model
title_full Big Data Analysis of Genes Associated With Neuropsychiatric Disorders in an Alzheimer’s Disease Animal Model
title_fullStr Big Data Analysis of Genes Associated With Neuropsychiatric Disorders in an Alzheimer’s Disease Animal Model
title_full_unstemmed Big Data Analysis of Genes Associated With Neuropsychiatric Disorders in an Alzheimer’s Disease Animal Model
title_short Big Data Analysis of Genes Associated With Neuropsychiatric Disorders in an Alzheimer’s Disease Animal Model
title_sort big data analysis of genes associated with neuropsychiatric disorders in an alzheimer’s disease animal model
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013555/
https://www.ncbi.nlm.nih.gov/pubmed/29962931
http://dx.doi.org/10.3389/fnins.2018.00407
work_keys_str_mv AT hamsuji bigdataanalysisofgenesassociatedwithneuropsychiatricdisordersinanalzheimersdiseaseanimalmodel
AT kimtaek bigdataanalysisofgenesassociatedwithneuropsychiatricdisordersinanalzheimersdiseaseanimalmodel
AT hongheeok bigdataanalysisofgenesassociatedwithneuropsychiatricdisordersinanalzheimersdiseaseanimalmodel
AT kimyongs bigdataanalysisofgenesassociatedwithneuropsychiatricdisordersinanalzheimersdiseaseanimalmodel
AT tangyaping bigdataanalysisofgenesassociatedwithneuropsychiatricdisordersinanalzheimersdiseaseanimalmodel
AT imhehin bigdataanalysisofgenesassociatedwithneuropsychiatricdisordersinanalzheimersdiseaseanimalmodel